Kin‐Hang Kok

21.9k citations
67 papers · 5.8k indexed · 2 hit papers · h-index 32

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 23
    • Viral Infections and Vectors 12
    • Viral gastroenteritis research and epidemiology 12
    • SARS-CoV-2 detection and testing 6
    • interferon and immune responses 14

Kin‐Hang Kok

66 papers receiving 5.7k citations

Hit Papers

Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan 2020 · 2.1k citations
2.1k202020262022202450010001.5k2.0k

Peers

Kin‐Hang Kok
Comparison fields: 5 of 145
  • Infectious Diseases 3.6k
  • Modeling and Simulation 349
  • Immunology 1.3k
  • Animal Science and Zoology 464
  • Neurology 480
Replace Deyin Guo with:
Deyin Guo China
Lisa E. Gralinski United States
Aaron F. Carlin United States
Shuofeng Yuan Hong Kong
Yushun Wan China
Alexandra Schäfer United States
Christian Devaux France
Jie Zhou China
Étienne Decroly France
Matthew B. Frieman United States
Kin‐Hang Kok relative to Deyin Guo China Deyin Guo's profile →
Citations per field
00.5×1.5×
Deyin Guo · 1×
Citations per year

Countries citing papers authored by Kin‐Hang Kok

Since Specialization
Citations

This map shows the geographic impact of Kin‐Hang Kok's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kin‐Hang Kok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kin‐Hang Kok more than expected).

Fields of papers citing papers by Kin‐Hang Kok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin‐Hang Kok. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kin‐Hang Kok. The network helps show where Kin‐Hang Kok may publish in the future.

Co-authors

The 25 scholars most cited alongside Kin‐Hang Kok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kin‐Hang Kok Line = papers co-authored together Kin‐Hang Kok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 202310
4 20232
5 202229
6 202126
7 20219
8
Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan
Hit paper breakdown →
20202117
9 2020380
10 202026
11 202046
12 202040
13 201923
14 201923
15 201838
16 201836
17 201746
18 201787
19 2016134
20 2008369

About Kin‐Hang Kok

Kin‐Hang Kok is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Epidemiology and Aging, having authored 67 papers that have together received 5.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (23 papers), interferon and immune responses (14 papers), Viral Infections and Vectors (12 papers), Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (10 papers), Mosquito-borne diseases and control (8 papers), Influenza Virus Research Studies (7 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Infectious Diseases (3.6k citations), Modeling and Simulation (349 citations), Immunology (1.3k citations), Animal Science and Zoology (464 citations) and Neurology (480 citations). Kin‐Hang Kok has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Kwok‐Yung Yuen, Kelvin Kai‐Wang To, Jasper Fuk‐Woo Chan, Hin Chu, Shuofeng Yuan, Dong‐Yan Jin, Zheng Zhu, Kam‐Leung Siu, Chi‐Ping Chan and Sai Wah Tsao. Their work appears in journals such as Emerging Microbes & Infections, Clinical Infectious Diseases, Journal of Virology, Nature Communications and The Journal of Immunology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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